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传统多项式常用在功率放大器模型和预失真器模型的设计里。然而,随着多项式阶数逐次增加时,传统多项式模型表现出数据的不稳定性。详细介绍了一种用于功率放大器以及预失真器模型的正交多项式。从理论上讲,传统多项式与正交多项式模型是等效的,但实践表明,在有限精度范围内,这两种方法对数据进行了不同的处理。MATLAB仿真结果表明,正交多项式可以减轻数值不稳定的问题,建立高精度的功率放大器和预失真器模型,进而改善系统的线性化指标。
Conventional polynomials are commonly used in the design of power amplifier models and predistorter models. However, the traditional polynomial model shows the instability of the data as the order of the polynomials increases successively. An orthogonal polynomial used in the power amplifier and predistorter models is described in detail. In theory, the traditional polynomial is equivalent to the orthogonal polynomial model, but practice shows that the two methods handle the data differently in the limited precision range. MATLAB simulation results show that the orthogonal polynomial can reduce the numerical instability problem, build high-precision power amplifier and predistorter model, and then improve the linearization index of the system.